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From |
Maarten buis <maartenbuis@yahoo.co.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: scaling |

Date |
Sat, 17 Nov 2007 22:51:50 +0000 (GMT) |

--- Renuka Metcalfe <rm18203@yahoo.co.uk> wrote: > I am using a cross-section data. I am looking at the > impact of "x" on "Y", runing an OLS. I ran something > like > > .regress Y x1, x2, x3 > > Some of my coefficients are very large. For example, > 648. > I cannot log the dependent variable, since some of the > some workplaces had minus "Y". > > I guess I could divide "Y" by 1000. But I not certain > if this would be correct. dividing by 1000 is certainly less dramatic than taking the log. Actually you can say you change nothing at all except that you get an model that is easier to estimate and easier to interpret. Say your dependent variable is income in euros. If you divide by a 1000 you get income in 1000s of euros. Whether you say that an extra level of education leads to 500 euros more income or .5 thousand euros income makes no difference, it is the same thing. Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Department of Social Research Methodology Vrije Universiteit Amsterdam Boelelaan 1081 1081 HV Amsterdam The Netherlands visiting address: Buitenveldertselaan 3 (Metropolitan), room Z434 +31 20 5986715 http://home.fsw.vu.nl/m.buis/ ----------------------------------------- ___________________________________________________________ Yahoo! Answers - Got a question? Someone out there knows the answer. Try it now. http://uk.answers.yahoo.com/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: scaling***From:*Renuka Metcalfe <rm18203@yahoo.co.uk>

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